Top AI Product

RuView is an open-source model that reads the radio reflections bouncing off people in a room and turns them into pose, presence, and vital signs. No camera. No wearable. Just WiFi. A neural net learns the RF signature of a space, subtracts the walls and furniture, and reports who’s there, how they’re breathing (6–30 breaths/min), and where their heart rate is trending (40–120 bpm).

What it actually runs on

A $9 ESP32 board captures the signal. The pretrained model is 8KB after 4-bit quantization and runs in microseconds on a Raspberry Pi — no cloud, no account, no subscription. There’s a Docker demo that works off a laptop WiFi adapter if you don’t want to buy hardware. MIT licensed.

Why it’s blowing up

78,000 stars, one of the fastest-climbing repos this week. The hook isn’t the tech, it’s the pitch: privacy-first sensing with zero pixels captured. Elder care, home security, sleep and breathing monitoring — all the places a camera feels invasive but a router doesn’t.

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